The first portion of this course is designed to provide an overview of the Bayesian approach and its applications to health economics/pharmacoeconomics and outcomes research. The course will cover basic elements of Bayesian statistics, contrasting briefly with classical (frequentist) statistics, and introduce available statistical packages. The second part of the course is a hands-on workshop where participants will be led through a series of exercises using the free Markov Chain Monte Carlo package WinBUGS. Attendees will have the chance to apply the principles they have learned in the morning session to challenging data analysis problems, including the use of Bayesian generalized linear models (GLM) to analyze cost and outcomes data. This course is designed for those with a limited understanding of Bayesian statistical concepts or for those who want a refresher and more practical experience. Participants are encouraged to bring their personal laptops equipped with software provided to course registrants.